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Learn how to implement robust database sharding strategies in Spring Boot microservices, leveraging JPA and PostgreSQL to overcome scalability bottlenecks, manage high-volume data, and build truly resilient distributed systems.
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Dive deep into building truly fault-tolerant, highly available event-driven microservices by mastering advanced Apache Kafka patterns like transactional producers/consumers, dead-letter queues, and robust retry mechanisms with Spring Boot 4.0 and Java 25.- Published on
Explore the critical architectural pattern of Data Projections for building highly scalable, eventually consistent read models in microservices, leveraging Spring Boot, Apache Kafka, and PostgreSQL to optimize data access and decouple concerns.- Published on
This post deep dives into implementing Change Data Capture (CDC) using Debezium, Apache Kafka, and Spring Boot to achieve robust, real-time data integration and event-driven microservices from traditional relational databases without direct application coupling.- Published on
This post deep dives into solving the critical production problem of managing evolving event data structures in Kafka-based microservices, ensuring compatibility and preventing system outages through robust schema evolution strategies with Avro and Schema Registry.